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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Real-Time Assessment of Staphylococcus aureus Biofilm Disruption by Phage-Derived Proteins
|
|---|---|
| Published in |
Frontiers in Microbiology, August 2017
|
| DOI | 10.3389/fmicb.2017.01632 |
| Pubmed ID | |
| Authors |
Diana Gutiérrez, Lucía Fernández, Beatriz Martínez, Patricia Ruas-Madiedo, Pilar García, Ana Rodríguez |
| Abstract |
A current focus of research is the development of new tools for removing bacterial biofilms in industrial settings. Bacteriophage-encoded proteins, such as endolysins, virion-associated peptidoglycan hydrolases, and exopolysaccharide depolymerases, have been shown to be efficient against these structures. However, the current screening techniques for the identification of antibiofilm properties of phage-derived proteins have important shortcomings. The aim of this work was to use the rapid, reproducible and accurate technology "real-time cell analyzer" for screening and comparing the antibiofilm ability of four phage-derived compounds, three lytic proteins (LysH5, CHAP-SH3b, and HydH5-SH3b) and one exopolysaccharide depolymerase (Dpo7) against Staphylococcus aureus biofilms, which have been associated with recurrent contamination of food products. The data generated after biofilm treatment allowed for the calculation of different antibiofilm parameters: (1) the minimum biofilm eradicating concentration that removes 50% of the biofilm (ranging from 3.5 ± 1.1 to 6.6 ± 0.5 μM), (2) the lowest concentration needed to observe an antibiofilm effect (∼1.5 μM for all the proteins), and (3) the specific antibiofilm activity and the percentage of biofilm removal that revealed LysH5 as the best antibiofilm compound. Overall, this technology might be used to quickly assess and compare by standardized parameters the disaggregating activity of phage antibiofilm proteins. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 25% |
| Singapore | 1 | 25% |
| France | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 84 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 18% |
| Student > Master | 14 | 17% |
| Researcher | 11 | 13% |
| Student > Bachelor | 3 | 4% |
| Professor > Associate Professor | 3 | 4% |
| Other | 9 | 11% |
| Unknown | 29 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 13 | 15% |
| Agricultural and Biological Sciences | 12 | 14% |
| Immunology and Microbiology | 10 | 12% |
| Medicine and Dentistry | 4 | 5% |
| Chemical Engineering | 3 | 4% |
| Other | 3 | 4% |
| Unknown | 39 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 306. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 October 2019.
All research outputs
#119,160
of 26,437,155 outputs
Outputs from Frontiers in Microbiology
#67
of 30,336 outputs
Outputs of similar age
#2,551
of 330,745 outputs
Outputs of similar age from Frontiers in Microbiology
#1
of 524 outputs
Altmetric has tracked 26,437,155 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 30,336 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done particularly well, scoring higher than 99% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 330,745 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 524 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.